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Assuming multithreaded single-axis reductions are implemented (eg; sum) you already get many of the benefits of pairwise summation (each thread computes a partial sum and then the partial sums are combined).
When NumPy's
sum
function is called, it is actually a pairwise sum implementation, which is supposed to be more stable: https://en.wikipedia.org/wiki/Pairwise_summationThe text was updated successfully, but these errors were encountered: